Silvio P. Eberhardt

474 citations
26 papers · 316 · h-index 9

Impact in

Papers in

Silvio P. Eberhardt

24 papers receiving 299 citations

Peers

Silvio P. Eberhardt
Comparison fields: 5 of 51
  • Experimental and Cognitive Psychology 165
  • Cognitive Neuroscience 179
  • Developmental and Educational Psychology 53
  • Signal Processing 32
  • Occupational Therapy 12
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Citations per year

Countries citing papers authored by Silvio P. Eberhardt

Since Specialization
Citations

This map shows the geographic impact of Silvio P. Eberhardt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvio P. Eberhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvio P. Eberhardt more than expected).

Fields of papers citing papers by Silvio P. Eberhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvio P. Eberhardt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvio P. Eberhardt. The network helps show where Silvio P. Eberhardt may publish in the future.

Co-authors

The 20 scholars most cited alongside Silvio P. Eberhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvio P. Eberhardt Line = papers co-authored together Silvio P. Eberhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198953
2 199147
3 201343
4 201427
5 199026
6 199224
7 199423
8 200013
9 201411
10 20198
11 20027
12 19865
13
Learning in neural networks: VLSI implementation strategies
19964
14 20214
15 19974
16 20213
17 19873
18 20232
19 19902
20 20032

About Silvio P. Eberhardt

Silvio P. Eberhardt is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 26 papers that have together received 316 indexed citations. Recurring topics across this work include Multisensory perception and integration (11 papers), Tactile and Sensory Interactions (10 papers), Hearing Loss and Rehabilitation (9 papers), Neural Networks and Applications (8 papers), Advanced Memory and Neural Computing (5 papers), Machine Learning and ELM (4 papers), Phonetics and Phonology Research (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (165 citations), Cognitive Neuroscience (179 citations), Developmental and Educational Psychology (53 citations), Signal Processing (32 citations) and Occupational Therapy (12 citations). Silvio P. Eberhardt has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Lynne E. Bernstein, Marilyn E. Demorest, Edward T. Auer, A. P. Thakoor, T. Daud, Timothy X. Brown, Jintao Jiang, Douglas Kerns, Moïse H. Goldstein and Joseph R. Osborne. Their work appears in journals such as The Journal of the Acoustical Society of America, Ear and Hearing, Journal of Neuroscience, IEEE Transactions on Industrial Electronics and Frontiers in Psychology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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